Sarepta Therapeutics (SRPT) Non-Current Assets (2010 - 2026)
Sarepta Therapeutics' Non-Current Assets came in at $964.69 million for Q2 2026, down 5.7% from $1.02 billion a year earlier but up 11.0% from the prior quarter.
Sarepta Therapeutics (SRPT) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Sarepta Therapeutics' Non-Current Assets was $811.77 million, down 8.8% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $889.71 million in FY2024 (+29.8%), $685.25 million in FY2023 (+20.1%), $570.51 million in FY2022 (+4.9%) and $543.88 million in FY2021 (+8.9%).
- The five-year range for quarterly Non-Current Assets is $476.91 million (Q3 2021) to $1.03 billion (Q1 2025).
- Year-over-year, Non-Current Assets has declined for four consecutive quarters, with growth averaging 12.1% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2024 (growth of 38.8%), and the weakest in Q1 2026 (a decline of 15.9%).
- Business Quant data shows SRPT's Non-Current Assets at $869.06 million (Q1 2026), $811.77 million (Q4 2025) and $771.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Sarepta Therapeutics | 1.99 Bn | -1.25 Bn | 251.87 Mn | 964.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 964.69 Mn |
| Mar 31, 2026 | 869.06 Mn |
| Dec 31, 2025 | 811.77 Mn |
| Sep 30, 2025 | 771.13 Mn |
| Jun 30, 2025 | 1.02 Bn |
| Mar 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 889.71 Mn |
| Sep 30, 2024 | 914.57 Mn |
| Jun 30, 2024 | 740.62 Mn |
| Mar 31, 2024 | 759.52 Mn |
| Dec 31, 2023 | 685.25 Mn |
| Sep 30, 2023 | 658.86 Mn |
| Jun 30, 2023 | 653.28 Mn |
| Mar 31, 2023 | 571.41 Mn |
| Dec 31, 2022 | 570.51 Mn |
| Sep 30, 2022 | 530.22 Mn |
| Jun 30, 2022 | 527.55 Mn |
| Mar 31, 2022 | 525.21 Mn |
| Dec 31, 2021 | 543.88 Mn |
| Sep 30, 2021 | 476.91 Mn |
Sarepta Therapeutics Non-Current Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-assets&ticker=SRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "SRPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();